PostgreSQL DBA
Open in Telegram
2 036
Subscribers
No data24 hours
No data7 days
+130 days
Posts Archive
2 035
Unused Indexes: Identify and remove unused indexes to reduce write overhead. The
pg_stat_all_indexes view provides information about index usage.2 035
Index Bloat: As data is inserted, updated, and deleted, indexes can become fragmented and bloated, leading to performance degradation. Rebuild indexes periodically using the
REINDEX command.2 035
Statistics: PostgreSQL relies on statistics to estimate the cost of different query plans. Inaccurate statistics can lead to suboptimal plan choices. Regularly update statistics using the
ANALYZE command.2 035
Partial indexes index only a subset of the table's rows, based on a condition. This can reduce index size and improve performance when queries frequently filter on that condition.
2 035
Composite indexes index multiple columns. The order of columns in a composite index is important. The most frequently used column in
WHERE clauses should come first.2 035
Indexes are crucial for improving query performance, but they also add overhead to write operations. Choosing the right indexes and maintaining them properly is essential.
2 035
Filtering: Where clauses that filter the data. If a filter is being applied after a large amount of data has already been processed, this is a sign the query could be optimized.
2 035
Rows: The estimated number of rows returned by each operation. Significant discrepancies between estimated and actual rows (observed with
EXPLAIN ANALYZE) can indicate inaccurate statistics, leading the planner to choose a suboptimal plan.2 035
Cost: The estimated cost of each operation. The planner uses a cost model to estimate the resources required to perform each operation. Higher costs usually indicate potential bottlenecks.
2 035
Bitmap Scans (Bitmap Index Scan, Bitmap Heap Scan): Used when multiple indexes might apply to a query. The database creates bitmaps representing rows matching each index condition and then combines these bitmaps before fetching the rows from the table. Can be useful when combining multiple filter conditions.
2 035
Index Scans (Index Scan, Index Only Scan): Using an index to locate rows.
Index Scan requires fetching the actual row data from the table after using the index, while Index Only Scan can retrieve all necessary data directly from the index itself (highly efficient).2 035
Sequential Scans (Seq Scan): Reading the entire table row by row. This is generally inefficient for large tables, especially when filtering on specific columns. Indicates a lack of suitable indexes or that the planner determined an index scan would be more expensive.
